Joonhyuck Lee

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #27,790 of 35,345 by trust here, #34,213 by citations
• Management Science and Operations Research — 5 citations into it; #9,075 of 11,946 by trust here, #11,360 by citations

Whom Joonhyuck Lee trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Monica Lam
4. Jun Yu
5. Alex Krizhevsky
6. Ilya Sutskever
7. Shen Furao
8. Byeong Seok Ahn
9. Andrej Karpathy
10. Simon Osindero

Who trusts Joonhyuck Lee overall

1. A. Ozbayoglu
2. M. Ugur Gudelek

Papers from Joonhyuck Lee's perspective

Ordered by how strongly the researchers Joonhyuck Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Learning-Based Corporate Performance Prediction Model Considering Technical Capability (2017) — 49 citations